decision-making computing course
Gain mastery over decision-making systems end-to-end. Explore architectures, machine learning-powered decision logic, data pipelines, monitoring, and governance to create secure, scalable, low-latency decision engines that drive real-world technology products. Delve into designing robust services that integrate rules and AI for reliable, optimisable outcomes in production environments.

4 to 360 hours flexible workload
valid certificate in your country
What will I learn?
This course teaches you to design and deploy comprehensive decision services from start to finish. You will define decision goals, organise inputs, connect data stores and feature repositories, merge rules with machine learning, and fine-tune for speed, scalability, and security. Additionally, you will gain expertise in monitoring, retraining, transparency, and governance to ensure automated decisions remain precise, compliant, and straightforward to enhance.
Elevify advantages
Develop skills
- Design decision architectures: develop APIs, feature stores, and event-driven workflows.
- Implement hybrid decision logic: integrate rules, ML models, and scoring mechanisms efficiently.
- Configure data pipelines: validate, standardise, and direct inputs for minimal latency.
- Monitor decision performance: observe drift, service levels, and enable rollbacks using defined metrics.
- Develop explainable decisions: provide clear rationales, audit trails, and controlled deployments.
Suggested summary
Before starting, you can change the chapters and the workload. Choose which chapter to start with. Add or remove chapters. Increase or decrease the course workload.What our students say
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